4.7 Article

A Multi-Disciplinary Approach to Assess the Welfare Impacts of a New Virtual Fencing Technology

Journal

FRONTIERS IN VETERINARY SCIENCE
Volume 8, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fvets.2021.637709

Keywords

animal welfare; behavior; cattle; cortisol; cognition; stress; sheep

Funding

  1. Australian Government Department of Agriculture, Water and Environment as part of its Rural R&D for Profit programme

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Virtual fencing utilizing audio cues and electrical stimuli has potential benefits for improving pasture management in cattle farming, but raises concerns about animal welfare due to the aversive nature of electrical stimuli. Welfare assessment and validation stages, including stress measures and behavioral responses, are crucial for ensuring the humane impact of new technologies on livestock.
Virtual fencing involving the application of audio cues and electrical stimuli is being commercially developed for cattle. Virtual fencing has the potential to improve productivity through optimized pasture management and utilization by grazing animals. The application of virtual fencing initiates public concern for the potential welfare impacts on animals due the aversive nature of using an electrical stimulus. It is therefore important to provide welfare assurance of the impacts of virtual fencing on livestock. In this paper, we provide an overview of the welfare assessment and validation stages for virtual fencing which could be applied to other new technologies utilizing novel systems. An understanding of stress measures and their suitability for use in specific contexts is discussed, including the use of glucocorticoids to measure both acute and chronic stress, and behavioral responses and patterns to indicate welfare states. The importance of individual differences in relation to learning and cognition are also highlighted. Together, this multi-disciplinary approach to welfare assessment provides a tool kit that may be applied for welfare assurance of some new technologies and systems for farm animals.

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